Chairs: Obianuju S. Madueke-Laveaux, Luis Alonso Pacheco

Faculty: Scott G. Chudnoff, Obianuju S. Madueke-Laveaux, Nicolas Bourdel, Luis Alonso Pacheco

Description: This course explores the transformative role of artificial intelligence (AI) in the surgical treatment of uterine fibroids, with a focus on minimally invasive techniques. Participants will gain insights into AI-driven advancements in imaging, preoperative planning, intraoperative guidance, and personalized treatment strategies. The course covers AI applications in fibroid classification, surgical decision-making, and patient outcome prediction, emphasizing real-world clinical integration and ethical considerations. Designed for healthcare professionals and researchers, this program equips attendees with the knowledge to leverage AI technologies for improving surgical precision, patient outcomes, and healthcare efficiency in gynecological practice.

Learning Objectives: At the end of this course, the participant will be able to:

1. Objective Understand AI Applications in Gynecological Surgery
2. Objective Develop Skills in AI-Driven Tools and Techniques
3. Objective Address Ethical and Practical Challenges in AI Adoption

Course Outline

9:15 AM Evaluating the Economic Benefits of Integrating AI into Minimally Invasive Fibroid Treatments

S. Chudnoff

9:40 AM Analyzing Large Datasets to Uncover Genetic or Environmental Factors Contributing to Fibroid Development

O. Madueke-Laveaux

10:05 AM AI Algorithms for Real-Time Assistance in Identifying and Removing Fibroids

N. Bourdel

10:30 AM How Can AI Assist in the Hysteroscopic Classification and Surgical Decision-Making to Enhance Outcomes in Patient With FIGO 2-3 Fibroids?

L. Pacheco